| all_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.562376 | | std_true | 0.230922 | | mean_random | 0.149132 | | std_random | 0.106725 | | snr | 3.872047 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.547000 | | precision@k | 0.109400 | | mean reciprocal rank | 0.540176 | |
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| all_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.510811 | | std_true | 0.247928 | | mean_random | 0.111792 | | std_random | 0.098802 | | snr | 4.038573 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.51120 | | precision@k | 0.10224 | | mean reciprocal rank | 0.50709 | |
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| all_roberta_large_v1 |
| Statistic | Value | | arch | roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 50265 | |
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| Statistic | Value | | mean_true | 0.590186 | | std_true | 0.213847 | | mean_random | 0.131289 | | std_random | 0.106083 | | snr | 4.325826 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.675850 | | precision@k | 0.135170 | | mean reciprocal rank | 0.645148 | |
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| paraphrase_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.513843 | | std_true | 0.242570 | | mean_random | 0.158809 | | std_random | 0.097676 | | snr | 3.634797 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.423650 | | precision@k | 0.084730 | | mean reciprocal rank | 0.445514 | |
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| paraphrase_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.486098 | | std_true | 0.249639 | | mean_random | 0.143441 | | std_random | 0.109846 | | snr | 3.119418 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.375400 | | precision@k | 0.075080 | | mean reciprocal rank | 0.409981 | |
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| bert_base_nli_mean_tokens |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.658200 | | std_true | 0.197101 | | mean_random | 0.369052 | | std_random | 0.134123 | | snr | 2.155836 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.373550 | | precision@k | 0.074710 | | mean reciprocal rank | 0.418525 | |
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| LaBSE |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 501153 | |
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| Statistic | Value | | mean_true | 0.880885 | | std_true | 0.097555 | | mean_random | 0.182254 | | std_random | 0.096057 | | snr | 7.273065 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.977600 | | precision@k | 0.195520 | | mean reciprocal rank | 0.969223 | |
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| distiluse_base_multilingual_cased_v2 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.870821 | | std_true | 0.117403 | | mean_random | 0.024481 | | std_random | 0.083102 | | snr | 10.184350 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.96985 | | precision@k | 0.19397 | | mean reciprocal rank | 0.95929 | |
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| paraphrase_multilingual_MiniLM_L12_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 12 | | vocab_size | 250037 | |
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| Statistic | Value | | mean_true | 0.868893 | | std_true | 0.125884 | | mean_random | 0.177900 | | std_random | 0.133930 | | snr | 5.159371 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.935650 | | precision@k | 0.187130 | | mean reciprocal rank | 0.920887 | |
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| paraphrase_multilingual_mpnet_base_v2 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.902621 | | std_true | 0.106138 | | mean_random | 0.225598 | | std_random | 0.126597 | | snr | 5.347846 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.95175 | | precision@k | 0.19035 | | mean reciprocal rank | 0.93809 | |
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| paraphrase_xlm_r_multilingual_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.871210 | | std_true | 0.112547 | | mean_random | 0.188367 | | std_random | 0.106660 | | snr | 6.402067 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.961500 | | precision@k | 0.192300 | | mean reciprocal rank | 0.949177 | |
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| xlm_r_distilroberta_base_paraphrase_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.871210 | | std_true | 0.112547 | | mean_random | 0.188367 | | std_random | 0.106660 | | snr | 6.402067 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.961500 | | precision@k | 0.192300 | | mean reciprocal rank | 0.949177 | |
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| stsb_xlm_r_multilingual |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.904620 | | std_true | 0.103386 | | mean_random | 0.183683 | | std_random | 0.148406 | | snr | 4.857887 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.949950 | | precision@k | 0.189990 | | mean reciprocal rank | 0.936294 | |
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| xlm_r_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.904620 | | std_true | 0.103386 | | mean_random | 0.183683 | | std_random | 0.148406 | | snr | 4.857887 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.949950 | | precision@k | 0.189990 | | mean reciprocal rank | 0.936294 | |
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| xlm_r_100langs_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.904620 | | std_true | 0.103386 | | mean_random | 0.183683 | | std_random | 0.148406 | | snr | 4.857887 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.949950 | | precision@k | 0.189990 | | mean reciprocal rank | 0.936294 | |
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| xlm_r_100langs_bert_base_nli_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.941180 | | std_true | 0.069567 | | mean_random | 0.361084 | | std_random | 0.159629 | | snr | 3.634023 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.939800 | | precision@k | 0.187960 | | mean reciprocal rank | 0.924258 | |
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| distilbert_multilingual_nli_stsb_quora_ranking |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.963661 | | std_true | 0.040054 | | mean_random | 0.766971 | | std_random | 0.071925 | | snr | 2.734651 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.901200 | | precision@k | 0.180240 | | mean reciprocal rank | 0.877196 | |
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| quora_distilbert_multilingual |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.963661 | | std_true | 0.040054 | | mean_random | 0.766971 | | std_random | 0.071925 | | snr | 2.734651 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.901200 | | precision@k | 0.180240 | | mean reciprocal rank | 0.877196 | |
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| xlm_r_large_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.872944 | | std_true | 0.125564 | | mean_random | 0.191898 | | std_random | 0.145794 | | snr | 4.671275 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.916650 | | precision@k | 0.183330 | | mean reciprocal rank | 0.898344 | |
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| xlm_r_base_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.858422 | | std_true | 0.124144 | | mean_random | 0.226259 | | std_random | 0.162901 | | snr | 3.880651 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.886750 | | precision@k | 0.177350 | | mean reciprocal rank | 0.864433 | |
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| clip_ViT_B_32_multilingual_v1 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.965292 | | std_true | 0.029735 | | mean_random | 0.838471 | | std_random | 0.064127 | | snr | 1.977647 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.735700 | | precision@k | 0.147140 | | mean reciprocal rank | 0.734473 | |
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